Neuron‐Inspired Time‐of‐Flight Sensing via Spike‐Timing‐Dependent Plasticity of Artificial Synapses
Neuron‐Inspired Time‐of‐Flight Sensing via Spike‐Timing‐Dependent Plasticity of Artificial Synapses
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DOI：
10.1002/aisy.202100159
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发表时间：
2021-11
影响因子：
7.4
通讯作者：
Minseong Park;Yuan Yuan-Yuan;Y. Baek;A. Jones;Nicholas Lin;Doeon Lee;H. Lee;Sihwan Kim;J. Campbell;Kyusang Lee
中科院分区：
文献类型：
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作者：
Minseong Park;Yuan Yuan-Yuan;Y. Baek;A. Jones;Nicholas Lin;Doeon Lee;H. Lee;Sihwan Kim;J. Campbell;Kyusang Lee
3D 传感是一项原始功能，通常可通过飞行时间 (ToF) 原理实现深度信息成像。然而，传统 ToF 传感器中的时间数字转换器 (TDC) 通常体积庞大、复杂，并且表现出较大的延迟和功率损耗。为了克服这些问题，本文提出了一种电阻式飞行时间（R-ToF）传感器，该传感器可以通过模拟尖峰时间依赖性可塑性（STDP）的生物过程来测量模拟域中的深度信息。基于具有忆阻智能物质的集成雪崩光电二极管 (APD) 的 R-ToF 传感器可实现高达 55 厘米的扫描深度（约 89% 精度和 2.93 厘米标准偏差）和低功耗（0.5 nJ/步），无需 TDC。通过R-ToF 3D成像和忆阻分类实现深度计算。该 R-ToF 系统为小型化和节能的神经形态视觉工程开辟了一条新途径，可用于光探测和测距 (LiDAR)、汽车、生物医学体内成像和增强/虚拟现实。
3D sensing is a primitive function that allows imaging with depth information generally achieved via the time‐of‐flight (ToF) principle. However, time‐to‐digital converters (TDCs) in conventional ToF sensors are usually bulky, complex, and exhibit large delay and power loss. To overcome these issues, a resistive time‐of‐flight (R‐ToF) sensor that can measure the depth information in an analog domain by mimicking the biological process of spike‐timing‐dependent plasticity (STDP) is proposed herein. The R‐ToF sensors based on integrated avalanche photodiodes (APDs) with memristive intelligent matters achieve a scan depth of up to 55 cm (≈89% accuracy and 2.93 cm standard deviation) and low power consumption (0.5 nJ/step) without TDCs. The in‐depth computing is realized via R‐ToF 3D imaging and memristive classification. This R‐ToF system opens a new pathway for miniaturized and energy‐efficient neuromorphic vision engineering that can be harnessed in light‐detection and ranging (LiDAR), automotive vehicles, biomedical in vivo imaging, and augmented/virtual reality.